Enter OTP
3 Years On Campus Bachelors Program
Canterbury Christ Church UniversityThis exciting degree is designed to give you the skills to build intelligent systems and make sense of complex data. You’ll learn how to use computing and analytics to solve real problems—whether that’s creating smarter technologies or helping organisations make better decisions. If you enjoy problem-solving, hands-on coding, and turning data into meaningful insights, this course is a perfect fit.
Curriculum Structure
Year 1 – Building the foundations
You’ll start by developing the core skills every data and AI professional needs: programming, algorithms, mathematics for computing, and the basics of data science. Modules like Programming and Algorithms, Introduction to Data Science, and Mathematics for Computer Science will help you understand how data is collected, processed, and transformed into knowledge.
Year 2 – Applying your skills
In your second year, you’ll move on to more advanced tools and methods. You’ll study Information Systems and Web Technologies, Data Visualisation and Communication, and AI and Deep Learning. This is where you begin to apply your knowledge, learning how to design intelligent, data-driven solutions while also thinking about important issues like ethics and communication.
Year 3 – Specialising and leading projects
Your final year is all about independence and expertise. You’ll explore cutting-edge topics such as Big Data Analysis with Hadoop and Spark, while also leading a substantial final year project. This gives you the chance to take ownership of a real-world data computing challenge and demonstrate your full range of skills to potential employers.
Focus Areas
Programming and algorithms
Mathematics for computing
Data science and analytics
Information systems and web technologies
Data visualisation and communication
AI and deep learning
Big data frameworks (Hadoop, Spark)
Independent final year project
What You’ll Gain
By the time you graduate, you’ll be able to:
Design and build intelligent systems
Analyse and visualise data effectively
Work with AI algorithms and big data tools
Complete an independent, professional-level data computing project
Professional Alignment
The course is taught within the CDIO (Conceive – Design – Implement – Operate) framework, which means it’s highly practical and industry-focused. You’ll be based in the modern Verena Holmes building, working with the latest facilities and getting hands-on experience that mirrors real industry practice.
Graduate Outcomes & Employability
This is a degree with strong career prospects. Official data shows that around 75% of graduates from this subject area are in work within 15 months of finishing their degree, and about 90% go on to employment, further study, or other professional activities. These numbers reflect the high demand for graduates with expertise in AI, big data, and intelligent computing.
At Canterbury Christ Church, you won’t just sit in lectures—you’ll roll up your sleeves and do. This programme is built around the hands-on CDIO (Conceive–Design–Implement–Operate) approach, so from your very first day you’ll be working on real-world style projects that mirror what professionals do in the field. You’ll study in the brand-new Verena Holmes Building, a vibrant STEM hub packed with industry-grade tools and creative spaces designed to spark innovation and collaboration. By the time you graduate, you’ll have more than just knowledge—you’ll have practical experience designing and delivering data and AI-driven solutions in environments that feel just like the workplace.
Experiential Learning Highlights:
Industry-standard learning environment (Verena Holmes Building): Work in a cutting-edge STEM facility complete with maker-spaces, engineering labs, AR/VR suites, instrumentation workshops, and simulation zones.
CDIO-led, project-based learning: Learn by doing—moving through the full cycle of creating solutions, from the idea stage right through to implementation and operation, just like you’ll do in your career.
Optional Year in Industry: Take a placement year with an employer to gain valuable workplace experience, build professional networks, and graduate with a stronger CV.
Supportive, close-knit learning community: Small class sizes and approachable staff mean you’ll always have guidance and encouragement while you work on practical projects and develop your skills.
Graduates from this program leave ready to thrive at the crossroads of data and technology. You’ll be prepared for exciting roles such as Data Analyst, Machine Learning Developer, Business Intelligence Specialist, or Data Consultant. This degree sets you on the path toward a future-proof career in tech, equipping you with the analytical, technical, and industry-relevant skills that employers are actively looking for.
Progression & Future Opportunities:
University Career Services: At CCCU, you won’t be navigating your career alone. The university’s careers team offers tailored CV workshops, one-to-one guidance, and opportunities to connect with employers through career fairs and events. All of this is designed to help you break into roles in analytics, AI, and computing with confidence.
Employment Outcomes: CCCU is consistently ranked among the UK’s top 20 universities for graduates entering employment. While salary levels can vary, data and tech graduates typically enjoy strong starting pay and clear opportunities for progression.
Industry Connections: Your studies are directly linked to the world of work. Through initiatives like the Future 360 Employability Toolkit, CCCU ensures that the skills you gain align with what employers are actually seeking—making your transition from classroom to career smoother.
Lasting Value of Your Degree: This qualification isn’t just about your first job. It carries full university accreditation and recognition, giving you credibility whether you choose to move into postgraduate study or advance through your career.
Graduation Outcomes: By the time you graduate, you’ll be more than ready to step into data-driven roles in fields like AI, analytics, and computing. With hands-on experience, career-focused training, and the support of CCCU’s network, you’ll be set up for success well beyond your time at university.
NO INFORMATION AVAILABLE FOR 2026 INTAKE.TOEFL: Minimum of 60 overall: Reading 8, Listening 7, Speaking 16 and Writing 18For Indian applicants: Successful completion of standard 12 th with 60% average For US applicants: If you are applying from South America, please contact the representative closest to you to make your application.Each application is considered on its overall merits, including relevant work, voluntary, or professional experience. For further information on A-level; IB, and more contact the representative closest to you to make your application or make a call to the university to apply.IELTS: 6.0 overall with no element below 5.5Data ScientistData AnalystMachine Learning EngineerArtificial Intelligence SpecialistBusiness Intelligence AnalystData EngineerCloud Data ArchitectBig Data EngineerSoftware DeveloperComputational ScientistResearch Data ScientistOperations AnalystIT ConsultantSystems AnalystCybersecurity AnalystDatabase AdministratorPredictive ModelerQuantitative AnalystProcess Automation SpecialistData Governance SpecialistDigital Transformation Consultant
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